The AI-Human Edge: Winning with Intelligence Technologies—On the Field and Beyond

De: William Schmarzo

Narrado por: Virtual Voice

The AI-Human Edge is a groundbreaking, comprehensive playbook for leaders, innovators, educators, coaches, analysts, and decision-makers who want to harness the power of Artificial Intelligence—not to replace humans, but to elevate them.

In a world obsessed with bigger models, faster chips, and AI automation, Bill Schmarzo reframes the conversation: the real competitive advantage isn’t artificial intelligence alone, but intelligence systems that learn with us, adapt to us, and amplify what humans do best. Drawing on four decades of experience across sports, healthcare, education, business, and public service, Schmarzo introduces a bold new discipline—Intelligence Analytics—that integrates data science, design thinking, causal reasoning, reinforcement learning, and Generative AI into a unified, human-centered methodology.

At the core of the book are two transformative frameworks:

• Entity Propensity Models (EPMs): behavioral, predictive, and causal models that quantify how individuals—whether athletes, clinicians, students, frontline workers, or citizens—respond to situations, pressures, and contexts.
• Entity Language Models (ELMs): personalized intelligence layers built on GenAI, Agentic AI, and reinforcement learning that turn insights into real-time guidance, explanations, and decisions tailored to each user.

Together, EPMs and ELMs form adaptive intelligence systems—powered by feedback loops, observability, backpropagation, and Temporal Difference learning—that grow more accurate, more personalized, and more valuable with every interaction. This isn’t the static analytics of yesterday; it’s a living, learning architecture designed to compound value over time through human-AI collaboration.

Schmarzo blends storytelling with hands-on execution, taking readers from the Moneyball revolution to modern nanoeconomics, where value is modeled at the individual level rather than through averages or population metrics. Along the way, he reveals why sports are the perfect sandbox for developing AI-driven learning systems—and how these same lessons can transform high-impact professionals across every industry.

The book is structured as a practical, 600-page “To-Do” manual, offering clear instructions, diagrams, canvases, and step-by-step design frameworks. Readers learn how to:

• Build personalized behavioral models
• Architect intelligence systems using Causal AI, Generative AI, Reinforcement Learning, and Language Models
• Design high-trust AI tools that explain themselves and support human judgment
• Operationalize real-time decision support for coaching, mentoring, clinical care, education, leadership, and more
• Create adaptive organizations that learn continuously
• Deliver intelligence to end users—students, patients, citizens, customers—through AI that truly serves them
• Build their own custom Digital Assistant using the YODA (Your Own Digital Assistant) framework

Whether you are coaching a sports team, leading a hospital, managing an engineering operation, teaching a classroom, or directing public policy, The AI-Human Edge gives you the tools to build AI systems that are responsible, transparent, explainable, personalized, and deeply human-centered.

This book is more than a strategy guide—it’s a blueprint for a future where AI doesn’t diminish human value, but magnifies it. A future where organizations learn faster, adapt smarter, and empower every individual to achieve their full potential.
If you want AI to amplify human capabilities and unleash their natural creativity, The AI-Human Edge is your playbook.